Day-ahead power forecasting in a large-scale photovoltaic plant based on weather classification using LSTM

Photovoltaic (PV) solar power generation is always associated with uncertainties due to weather parameters intermittency. This poses difficulties in grid management as solar penetration rate rise continuously. Thus, accurate Photovoltaic (PV) power prediction is required for the successful integrati...

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Vydáno v:	Energy (Oxford) Ročník 187; s. 115838
Hlavní autoři:	Gao, Mingming, Li, Jianjing, Hong, Feng, Long, Dongteng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ltd 15.11.2019 Elsevier BV
Témata:	Algorithms Dynamic characteristics Economic forecasting Forecasting Grey system model Long short-term memory LSTM Mathematical models meteorological data Meteorology neural networks Parameter uncertainty Photovoltaic (PV) power prediction Photovoltaic cells Photovoltaics power generation prediction Similar days Solar energy Solar power Solar power generation Time series time series analysis uncertainty Weather forecasting Photovoltaic (PV) power prediction Grey system model LSTM Similar days
ISSN:	0360-5442, 1873-6785
On-line přístup:	Získat plný text
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